Triple

T4019451
Position Surface form Disambiguated ID Type / Status
Subject Zhan E91243 entity
Predicate hasAlternativeRomanization P5923 FINISHED
Object Cham E229076 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cham | Statement: [Zhan, hasAlternativeRomanization, Cham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cham
Context triple: [Zhan, hasAlternativeRomanization, Cham]
  • A. Cham chosen
    Cham is a town in the Upper Palatinate region of Bavaria, Germany, known for its location along the Regen River and its historical role as a regional center.
  • B. Cholon
    Cholon was historically Saigon’s bustling Chinese-influenced district and commercial hub, known for its dense markets, temples, and vibrant trading community.
  • C. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • D. Adjame
    Adjame is a bustling commercial and residential district of Abidjan in Côte d'Ivoire, known for its major markets and transport hubs.
  • E. Trun
    Trun is a commune in northwestern France that became historically significant as a focal point in the closing encirclement of German forces during the Battle of the Falaise Pocket in World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01994b0c8190b34af36acadad5c6 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7cb0ec8190b7e4646a934ddb07 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:35 p.m.